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A common problem when you need to set up a new database instance is to import the initial data. This can particularly be an issue, if you are converting an existing database so there is a large amount of data to import. In MySQL NDB Cluster 7.6 which just was announced as general available (GA) this week, there is a new tool to help with such imports: ndb_import.

The ndb_import utility takes a CSV file and imports the data into a table. (While C stands for comma, the tool is not limited to comma-separated files, in fact tabs is the default …

This year the Zero to DBA Hero track at the Southeas  Llinuxfest expands to a second day.  The event is free to attend but it helps if you pre register.  Here is the agenda of that you will see in Charlotte June 8th, 9th, and 10th.


MySQL Talks at SELF – Zero to DBA Hero Track Linode Ballroom
Friday
9am 20 years of MySQL, 20 years of PHP, and 10 Years of SELF -- What the heck has been going on? Dave Stokes
10:15 Introducing the MySQL Document Store
Charles Bell, PhD
11:30 Performance Analysis and Troubleshooting Methodologies for Databases Peter Zaitsev
1:30 MySQL Without the SQL -- Oh My! Dave Stokes
4:00 Introducing MySQL InnoDB Cluster Charles Bell, PhD
Saturday
9am …

MySQL Cluster 7.6 is designed to improve the restart times
for database sizes that MySQL Cluster 7.5 and earlier versions
support.

At the same time MySQL Cluster 7.6 is preparing for the innovations
in HW architecture. Between 2008 and 2012 I was heavily involved
in handling the previous change in HW architecture. This change
was the introduction of multi-core architectures. Between 2008 and
2012 we scaled the MySQL Server from 4 CPUs to 64 CPUs.
The NDB data nodes was scaled from 2 CPUs to more than 50 CPUs in
the same timeframe.

The next major shift in the HW architecture is the introduction of
persistent memory, this means that we will get persistent memory
accessible at the same level as DRAM. We don't know yet all
characteristics we will see on those persistent memories, but a
guestimate on what to expect are:

1) …

Join Percona Chief Evangelist Colin Charles as he covers happenings, gives pointers and provides musings on the open source database community.

Shortly after the last dispatch, I jetted off for a spot of vacation (which really meant I was checking out the hype behind Blockchain with a database developer lens at the Blockchain Week NYC), and then some customer visits in Seoul, which explains the short hiatus. Here’s to making this more regular as the summer approaches.

I am about to embark on a fairly long trip, covering a few upcoming appearances: Lisbon for the Percona Engineering meeting, SouthEastLinuxFest in Charlotte, the …

      Bernd Ocklin | MySQL Cluster Engineering Director

It gives us great pleasure to announce that the 7.6 release of MySQL Cluster is GA and now ready for prime time. 

MySQL Cluster is a distributed database combining linear scalability and high availability. An ultra-high speed database, MySQL Cluster provides in-memory real-time access with transactional consistency across partitioned and distributed data sets designed for highly available mission critical applications.

MySQL Cluster’s shared nothing architecture delivers an incredible 99.9999% availability and is used within the core of systems that serve billions of mobile phone users, leading online-games and high demand web services. 

This new MySQL Cluster 7.6 version is all about supporting and optimizing performance on the latest off the shelf hardware, increasing its ability to both scale up on ever …

In this series of blogs I will do my best to demonstrate how to set up and run Cluster in Cloud environment by hand and by utilizing MCC. For detailed configuration, I will use MCC (Auto-installer). Some of the information regarding this setup is provided in post by Mikael. Information regarding Auto-installer is available in our documentation, HTML help files in share/MCC distribution directory and in my blog post.

Cloud setup It might come as surprise but for initial testing any instance should do. I started with 1CPU/1GB RAM ones. The target topology was:

• Host #1: Management node and Cluster client tools.
• Host #2: Multi-threaded DATA node. …

We are are an vendor neutral and independent open source database technologies consulting, support and remote DBA services provider with several customers using MySQL GA, MySQL Enterprise, InnoDB/XtraDB, Percona Server, MariaDB, MyRocks and ClickHouse. The customers continue doing business with us for being an technology / vendor agnostic company. We spend considerable amount of time doing research on open source database technologies, Often customers ask us about the performance comparison between InnoDB and MyRocks so we decided to write this post to compare performance between InnoDB (MySQL 8.0) and MyRocks (MariaDB 10.3.7) using Sysbench 1.0.14:

Software Infrastructure we have used for this benchmarking : 

MySQL 8.0 / InnoDB  (no custom tuning done for performance)

[root@localhost sysbench]# cat /etc/redhat-release 
CentOS Linux release 7.3.1611 (Core) …

MySQL Cluster 7.6 is now released as GA. 7.6 contains a lot of interesting changes.
Here is a list of changes in numbers in the recent MySQL Cluster versions.

1) With the new changes of our checkpointing scheme the restart times in MySQL
Cluster are 3-4x faster for a database size of around 60 GByte.

2) The changes we have done in our parallel query execution parts have improved
some benchmark queries we have tested with up to a factor of 2.

3) A new wakeup threads in the NDB API means that each API node can deliver 10%
more throughput.

4) 7.6.6 introduces a new shared memory transporter to communicate between
colocated MySQL Server and NDB data nodes. This improves throughput by 10% and
can improve throughput on low thread counts as much as 60%.

5) Benchmarks using the Read Backup feature (released in 7.5) shows that
…

MySQL 8.0.11 comes with a catalog of 5108 spatial reference systems (SRSs). 4628 projections (flat maps), 479 geographic (ellipsoidal) representations of Earth, and one Cartesian all-purpose abstract plane (SRID 0). And if for some reason that isn’t enough, we can create our own.…

You may have heard about the term “split brain”. What it is? How does it affect your clusters? In this blog post we will discuss what exactly it is, what danger it may pose to your database, how we can prevent it, and if everything goes wrong, how to recover from it.

Long gone are the days of single instances, nowadays almost all databases run in replication groups or clusters. This is great for high availability and scalability, but a distributed database introduces new dangers and limitations. One case which can be deadly is a network split. Imagine a cluster of multiple nodes which, due to network issues, was split in two parts. For obvious reasons (data consistency), both parts shouldn’t handle traffic at the same time as they are isolated from each other and data cannot be transferred between them. It is also wrong from the application point of view - even if, eventually, there would be a way to sync the data (although …